
Discover best practices for ethical usage data collection in open source projects, covering community engagement, privacy, compliance, and governance principles.

Critical analysis of YouTube's alleged radicalization pipeline, examining user behavior, content recommendations, and community intersections to evaluate claims of systematic progression towards extreme ideologies.

Explore Bayesian A/B testing for data scientists, comparing it with frequentist methods using real data and code. Learn to define experiments, process data, and interpret results effectively.

Learn to implement anomaly detection for predictive maintenance using Wio Terminal, TinyML, and Blynk IoT platform. Covers data collection, model training, testing, and integration with IoT systems.

Explore ethical considerations in data science, covering data collection, storage, analysis, and modeling. Learn practical strategies to address ethical challenges in your work.

Explore the development of a global sensor network for air quality and radiation monitoring, including hardware design, data collection, and real-world applications.

Explore statistical modeling techniques for ecological data, focusing on hidden Markov models, Bayesian inference, and capture-recapture methods. Learn to analyze and interpret complex environmental datasets.

Explore how real-time data and open-source information revolutionize medicine development, from identifying molecules to conducting clinical trials and improving patient care.

Explore the role of Medical Examiners, their responsibilities, and the implementation of a new system in 2019, including key processes and case examples.

Análisis de seguridad de la Biblioteca de Anuncios de Facebook, explorando debilidades en la transparencia política y proponiendo métodos para detectar actividades coordinadas no declaradas en publicidad electoral.

Comprehensive analysis of pre-installed Android software, exploring security and privacy implications, stakeholder relationships, and potential risks in the Android ecosystem.

Learn to collect, process, and visualize global wildfire data using NASA sources, data engineering techniques, and tools like Kepler.gl, mapboxgl, and Streamlit for insightful analysis and presentation.

Explore Fluent Bit 1.9's latest features for enhanced observability, including improved container support, new plugins, and optimized performance for efficient log and metric collection.

Explore Lua scripting in Fluent Bit to unlock its full potential. Learn novel scenarios, tips, and tricks to enhance log processing capabilities beyond basic sample scripts.

Explore Meltwater's Data Science platform for Media Intelligence, featuring data collection, enrichment, and AI applications to extract insights from online conversations for strategic decision-making.

Explore social network analysis techniques, data collection methods, and analytical approaches. Learn about key concepts like weak ties, homophily, and community detection to enhance your understanding of network structures.

Learn to create an Instagram scraping tool using Selenium and SOAX residential proxies. Discover automation techniques for efficient data extraction from social media platforms.

Learn to implement and manage Google Tag Manager for website tracking, including setup, tag creation, testing, and integration with Google Analytics 4 for effective data collection and analysis.

Explore the diverse world of big data, data science, and predictive analytics. Gain insights into subfields, real-world applications, and the components of a big data pipeline across various industries.

Explore Fluent Bit's expanded capabilities in observability, covering logs, metrics, and traces collection. Learn to optimize data pipelines using OpenMetrics and OpenTelemetry for efficient production environments.

Comprehensive guide to GA4 event tracking, covering all event types, parameters, and practical implementation. Learn to effectively collect and analyze data for improved insights and reporting.